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GitScrum Sprints MCP Server for Mastra AI 15 tools — connect in under 2 minutes

Built by Vinkius GDPR 15 Tools SDK

Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect GitScrum Sprints through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.

Vinkius supports streamable HTTP and SSE.

typescript
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";

async function main() {
  // Your Vinkius token. get it at cloud.vinkius.com
  const mcpClient = await createMCPClient({
    servers: {
      "gitscrum-sprints": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "GitScrum Sprints Agent",
    instructions:
      "You help users interact with GitScrum Sprints " +
      "using 15 tools.",
    model: openai("gpt-4o"),
    tools,
  });

  const result = await agent.generate(
    "What can I do with GitScrum Sprints?"
  );
  console.log(result.text);
}

main();
GitScrum Sprints
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About GitScrum Sprints MCP Server

What you can do

  • Sprint lifecycle — create, update, delete, and inspect sprints with precise date ranges and configurations
  • Performance analytics — access sprint KPIs, detailed statistics, progress tracking, and velocity metrics in real-time
  • Visual reports — retrieve burndown, burnup, performance, and distribution chart data for any sprint
  • Backlog management — list and create user stories, browse epics, and view tasks filtered by sprint
  • Cross-workspace visibility — list sprints across all workspaces for portfolio-level oversight

Mastra's agent abstraction provides a clean separation between LLM logic and GitScrum Sprints tool infrastructure. Connect 15 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.

The GitScrum Sprints MCP Server exposes 15 tools through the Vinkius. Connect it to Mastra AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect GitScrum Sprints to Mastra AI via MCP

Follow these steps to integrate the GitScrum Sprints MCP Server with Mastra AI.

01

Install dependencies

Run npm install @mastra/core @mastra/mcp @ai-sdk/openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save to agent.ts and run with npx tsx agent.ts

04

Explore tools

Mastra discovers 15 tools from GitScrum Sprints via MCP

Why Use Mastra AI with the GitScrum Sprints MCP Server

Mastra AI provides unique advantages when paired with GitScrum Sprints through the Model Context Protocol.

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add GitScrum Sprints without touching business code

02

Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation

03

TypeScript-native: full type inference for every GitScrum Sprints tool response with IDE autocomplete and compile-time checks

04

One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure

GitScrum Sprints + Mastra AI Use Cases

Practical scenarios where Mastra AI combined with the GitScrum Sprints MCP Server delivers measurable value.

01

Automated workflows: build multi-step agents that query GitScrum Sprints, process results, and trigger downstream actions in a typed pipeline

02

SaaS integrations: embed GitScrum Sprints as a first-class tool in your product's AI features with Mastra's clean agent API

03

Background jobs: schedule Mastra agents to query GitScrum Sprints on a cron and store results in your database automatically

04

Multi-agent systems: create specialist agents that collaborate using GitScrum Sprints tools alongside other MCP servers

GitScrum Sprints MCP Tools for Mastra AI (15)

These 15 tools become available when you connect GitScrum Sprints to Mastra AI via MCP:

01

all_sprints

List sprints across all workspaces

02

create_sprint

Create a new sprint

03

create_user_story

Create a user story

04

get_sprint

Get sprint details

05

get_task

Get task details by UUID

06

list_epics

List epics in a project

07

list_sprints

List sprints in a project

08

list_tasks

Use the sprint_slug filter to see only tasks belonging to a specific sprint. Filter by status (todo, in-progress, done). List tasks in a project, optionally filtered by sprint

09

list_user_stories

List user stories in a project

10

sprint_kpis

Get sprint KPIs

11

sprint_metrics

Get detailed sprint metrics

12

sprint_progress

Get current sprint progress

13

sprint_reports

Resource: burndown, burnup, performance, types, efforts, member_distribution, task, type_distribution. Get sprint reports with charts

14

sprint_stats

Get sprint statistics

15

update_sprint

Update an existing sprint

Example Prompts for GitScrum Sprints in Mastra AI

Ready-to-use prompts you can give your Mastra AI agent to start working with GitScrum Sprints immediately.

01

"What's the progress of our current sprint in the web-app project?"

02

"Create a new sprint 'Sprint 15 — Payments' from April 14 to April 28."

03

"Show me the velocity metrics for the last completed sprint."

Troubleshooting GitScrum Sprints MCP Server with Mastra AI

Common issues when connecting GitScrum Sprints to Mastra AI through the Vinkius, and how to resolve them.

01

createMCPClient not exported

Install: npm install @mastra/mcp

GitScrum Sprints + Mastra AI FAQ

Common questions about integrating GitScrum Sprints MCP Server with Mastra AI.

01

How does Mastra AI connect to MCP servers?

Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
02

Can Mastra agents use tools from multiple servers?

Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
03

Does Mastra support workflow orchestration?

Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.

Connect GitScrum Sprints to Mastra AI

Get your token, paste the configuration, and start using 15 tools in under 2 minutes. No API key management needed.